Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-31140-6_16
Title: Semantic Validation of Emergent Properties in Component-Based Simulation Models
Authors: Szabo, C.
Teo, Y.M. 
Issue Date: 2013
Source: Szabo, C.,Teo, Y.M. (2013). Semantic Validation of Emergent Properties in Component-Based Simulation Models. Intelligent Systems Reference Library 44 : 319-333. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-31140-6_16
Abstract: Advances in composable modeling and simulation have facilitated the development and our understanding of more complex models. As a result, the representation, identification and validation of emergence is becoming of increasing importance because emergent properties can have a negative effect on the overall system behavior. Despite a plethora of definitions and methods, a practical approach to identify and validate emergent properties in newly composed simulation models remains a challenge. This chapter reviews current approaches and presents a new approach for identifying emergent properties in component-based systems. Using a simple example of a flock of birds model, we compare and contrast three main approaches: grammar-based, variable-based and event-based. Lastly, building on our previous work on formal semantic validation of model behavior, we present a new objective-based approach for semantic validation of emergent properties in composable simulation. © Springer-Verlag Berlin Heidelberg 2013.
Source Title: Intelligent Systems Reference Library
URI: http://scholarbank.nus.edu.sg/handle/10635/78481
ISBN: 9783642311390
ISSN: 18684394
DOI: 10.1007/978-3-642-31140-6_16
Appears in Collections:Staff Publications

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